Maintaining constraint-based con-guration systems: Challenges ahead

Constraint-based configuration systems like knowledge-based recommendation and configuration are used in many difierent product areas such as cars, bikes, mobile phones, and computers. The development and maintenance of such systems is a time-consuming and error prone task be- cause the content of such systems and the responsible knowl- edge engineers are changing over time. Much research has been done to support knowledge engi- neers in their maintenance task. In this paper we give a short overview of previous research in the context of intelligent tech- niques to support the maintenance task and give an overview of future research aspects in this area. This paper focuses on intelligent simulation techniques for generating metrics, predicting boundary values for automated test case genera-tion, assignment-based (instead of constraint-based) anomaly management, and processes for the development of constraint-based configuration systems.